An evaluation of smoothing filters for gas sensor signal cleaning

Enobong Bassey, Jacqueline Whalley, Philip Sallis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper explores signal response and methods for extracting the desired digital signal, from gas sensor arrays, while maintaining the shape and resolution of that signal. A comparative evaluation of Savitzky–Golay smoothing, moving average, local regression and robust local regression filters for cleaning signals obtained from gas sensor devices during the pre-processing phase is provided. It was found that the Savitzky–Golay smoothing filtering method provided the best approximation of the sensor response.
Original languageEnglish
Title of host publicationThe Fourth International Conference on Advanced Communications and Computation
Subtitle of host publicationINFOCOMP 2014, Paris, France
EditorsC. Rückemann, M. Pankowska
Pages19-23
Number of pages5
Publication statusPublished - 2014

Keywords

  • Denoising
  • Gas sensor arrays
  • Signal processing

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  • Cite this

    Bassey, E., Whalley, J., & Sallis, P. (2014). An evaluation of smoothing filters for gas sensor signal cleaning. In C. Rückemann, & M. Pankowska (Eds.), The Fourth International Conference on Advanced Communications and Computation: INFOCOMP 2014, Paris, France (pp. 19-23)